When there is a bit of noise in the image, the segmentation
step might find lots of small potential digits that are not
really digits (or other characters) of the display. Given
sufficiently large display characters, it may be possible
to specify minimum character dimensions to remove spurious
potential characters (digits) based on their size.
This adds an option to enable white spece detection, and two
further options to control the operation of white space detection.
White space detection (--print-spaces) is intended for use cases
where digit (resp. character) grouping is important for correct
interpretation. One use case is the recognition of superimposed
dates in photographic images.
This commit also increases the version number to 2.21.0 and tweaks
some debug output.
This introduces a function to scan part of the image for foreground
pixels.
This scanline() function may be of use for distuingishing between
the digit '1' and the symbol ":".
It may also help in segment detection reliability if the "len" parameter
is used to skip scanning image areas between segment positions.
- no functional changes
- this is another step towards refactoring the recognition algorithm
- this is another step towards factoring out the image access routines to
ultimately replace Imlib2 by something else (e.g. gd)
Erik Auerswald